Ara
Toplam kayıt 7, listelenen: 1-7
Smart Cinema Seat Finding System Using Interaction Design with Arduino
(Institute of Electrical and Electronics Engineers, 2018)
This paper presents a new approach to utilize smart technology in a practical and meaningful manner to make finding seats easier for audiences in cinema halls. Generally, the audiences come to cinema halls late and they ...
A Multistage Deep Learning Algorithm for Detecting Arrhythmia
(Institute of Electrical and Electronics Engineers, 2018)
Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage ...
Performance Comparision of Different Momentum Techniques on Deep Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2017)
Increase in popularity of deep convolutional neural networks in many different areas leads to increase in the use of these networks in reinforcement learning. Training a huge deep neural network structure by using simple ...
Orthogonal Extreme Learning Machine Based P300 Visual Event-Related BCI
(Springer, 2015)
Brain Computer Interface (BCI) is a type of human-computer relationship research that directly translates electrical activity of brain into commands that can rule equipment and create novel communication channel for muscular ...
Webcam Based Real-Time Robust Optical Mark Recognition
(Springer, 2015)
This study proposes a robust, low cost, real-time optical mark recognition (OMR) system that uses a webcam and a small OMR form to read hand-marked data from plain paper. The system is designed to read data from any ...
Channel selection from EEG signals and application of support vector machine on EEG data
(Institute of Electrical and Electronics Engineers Inc., 2017)
In this study, EEG data recorded during mental arithmetic operations and silent reading were analyzed by discrete wavelet transform and feature vectors were obtained. The obtained feature vectors are classified by Support ...
Competency Gap Identification Through Customized I4.0 Education Scale
(Springer Science and Business Media Deutschland GmbH, 2022)
The key competencies and knowledge of employees in a new era of production systems based on the concept of Industry 4.0 are becoming increasingly important for business and education worldwide. The intensive interaction ...